Jan Stühmer @ICML
@janstuehmer.bsky.social
ML for Science, Interpretability & GNNs. Jun.-Prof. @ KIT. ML-Group @ Heidelberg Institute for Theoretical Studies. Previously Samsung AI, Microsoft Research, MIT-CSAIL, TUM & Caltech. Opinions and typos are my own.
Take a look at our #neurips2024 paper, "Generating Highly Designable Proteins with Geometric Algebra Flow Matching" which at the same time more closely follow the distribution of secondary structure elements
arxiv.org/abs/2411.05238
Project page: www.h-its.org/projects/gafl/
#Ai4Science
arxiv.org/abs/2411.05238
Project page: www.h-its.org/projects/gafl/
#Ai4Science
January 6, 2025 at 3:35 PM
Take a look at our #neurips2024 paper, "Generating Highly Designable Proteins with Geometric Algebra Flow Matching" which at the same time more closely follow the distribution of secondary structure elements
arxiv.org/abs/2411.05238
Project page: www.h-its.org/projects/gafl/
#Ai4Science
arxiv.org/abs/2411.05238
Project page: www.h-its.org/projects/gafl/
#Ai4Science